Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 79 (from 79) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.5837521
 2  A*33:03-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.33727,595
 3  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 4  A*02:11:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 5  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 6  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.21952,403
 7  A*30:04:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 8  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.175711,446
 9  A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Northeast UCBB 0.1689296
 10  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14185,266
 11  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  Italy pop 5 0.1400975
 12  A*02:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.10465,849
 13  A*24:02-B*35:03-C*12:03-DRB1*14:54  Italy pop 5 0.1000975
 14  A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.08315,849
 15  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.07844,204
 16  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.07485,849
 17  A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.07055,829
 18  A*02:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 19  A*01:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.06562,403
 20  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.05735,829
 21  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.055023,595
 22  A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.05144,204
 23  A*01:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.050211,446
 24  A*11:01-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.04017,595
 25  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04015,266
 26  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03655,266
 27  A*02:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.03625,829
 28  A*32:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.03564,204
 29  A*02:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.03474,204
 30  A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.03435,829
 31  A*25:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*68:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.03332,403
 33  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.032823,595
 34  A*01:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.03184,204
 35  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03035,266
 36  A*03:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.02982,403
 37  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02915,266
 38  A*03:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.02905,849
 39  A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.02725,849
 40  A*31:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.026511,446
 41  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02585,266
 42  A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.025411,446
 43  A*03:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.02384,204
 44  A*66:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.02384,204
 45  A*02:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.02082,403
 46  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.019623,595
 47  A*02:06:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 48  A*01:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.01875,849
 49  A*03:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01834,204
 50  A*02:11-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.016511,446
 51  A*68:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.015711,446
 52  A*24:02-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.01457,595
 53  A*02:11-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01314,204
 54  A*02:11-B*35:03-C*12:03-DRB1*14:54-DQB1*05:02  India Central UCBB 0.01194,204
 55  A*11:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 56  A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01104,204
 57  A*26:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.01095,829
 58  A*31:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.01035,829
 59  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 60  A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.009511,446
 61  A*68:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.00945,849
 62  A*02:06-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.00935,849
 63  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 64  A*24:11N-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.008711,446
 65  A*26:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.008711,446
 66  A*23:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 67  A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:01  India North UCBB 0.00855,849
 68  A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:02  India North UCBB 0.00855,849
 69  A*03:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.00825,829
 70  A*02:20-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.00805,849
 71  A*26:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.00795,849
 72  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00785,266
 73  A*02:06:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00745,266
 74  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.006423,595
 75  A*03:01-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.00567,595
 76  A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.00562,403
 77  A*24:03-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.00547,595
 78  A*02:06-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 79  A*66:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).




   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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